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2020 – today
- 2022
[j9]Shengshen Wu
, Gaofeng Zhao, Bisheng Wu:
Real-time prediction of the mechanical behavior of suction caisson during installation process using GA-BP neural network. Eng. Appl. Artif. Intell. 116: 105475 (2022)- [j8]Jianfeng Li, Gaofeng Zhao, Baobao Li, Xianpeng Wang, Mengxing Huang:
A reduced dimension multiple signal classification-based direct location algorithm with dense arrays. Int. J. Distributed Sens. Networks 18(5): 155013292210975 (2022) - 2021
- [j7]Jiangyi Hu, Yang Li, Gaofeng Zhao, Bo Xu, Yiyang Ni, Haitao Zhao:
Deep Reinforcement Learning for Task Offloading in Edge Computing Assisted Power IoT. IEEE Access 9: 93892-93901 (2021) - [j6]Penghui Ma, Jianfeng Li, Gaofeng Zhao, Xiaofei Zhang:
Computation-efficient 2-D DOA estimation algorithm with array motion strategy. Digit. Signal Process. 112: 103013 (2021) - [j5]Penghui Ma, Jianfeng Li, Gaofeng Zhao, Xiaofei Zhang:
CAP-3 Coprime Array for DOA Estimation With Enhanced Uniform Degrees of Freedom and Reduced Mutual Coupling. IEEE Commun. Lett. 25(6): 1872-1875 (2021) - [j4]Gaofeng Zhao, Hao Zheng, Yingying Li, Kehui Zhu, Jianfeng Li:
A Frequency Domain Direct Localization Method Based on Distributed Antenna Sensing. Wirel. Commun. Mob. Comput. 2021: 6616729:1-6616729:10 (2021) - [c10]Gaofeng Zhao, Rui Liu, Yang Li, Jin Huang, Mingxuan Zhang, Weiwei Miao:
Multi-user broadcast authenticaiton in Power LTE Private Network with Compressed Bloom Filter. CSP 2021: 161-165 - 2020
- [j3]Jianfeng Li, Penghui Ma, Xiaofei Zhang, Gaofeng Zhao:
Improved DFT Algorithm for 2D DOA Estimation Based on 1D Nested Array Motion. IEEE Commun. Lett. 24(9): 1953-1956 (2020) - [j2]Penghui Ma, Jianfeng Li, Xiaofei Zhang, Gaofeng Zhao:
Improved unfolded coprime array subject to motion for DOA estimation: augmented consecutive synthetic difference co-array. IET Signal Process. 14(10): 823-836 (2020)
2010 – 2019
- 2019
- [c9]Tao Ma, Jinsuo Liu, Gaofeng Zhao, Feng Tian, Xiaofang Yang, Dapeng Li, Yongan Guo:
Experimental Demonstration of Wireless Multi-relay Transmission Based on USRP Platform. GCCE 2019: 195-196 - [c8]Tao Ma, Jinsuo Liu, Gaofeng Zhao, Feng Tian, Dapeng Li, Yongan Guo:
Performance Evaluation of E-IoT of the Grid Company with Dedicated and Public Service Classification. GCCE 2019: 892-893 - 2018
- [c7]Gaofeng Zhao, Wang Luo, Yang Cui, Qiang Fan, Qiwei Peng, Zhen Kong, Liang Zhu, Tai Zhang:
A Multi-label Scene Categorization Model Based on Deep Convolutional Neural Network. CSPS (3) 2018: 128-135 - [c6]Qiwei Peng, Tongwei Yu, Wang Luo, Tong Li, Gaofeng Zhao, Qiang Fan, Xiaolong Hao, Peng Wang, Zhiguo Li, Qilei Zhong, Min Feng, Lei Yu, Tingliang Yan, Shaowei Liu, Yuan Xia, Bin Han, Qibin Dai, Yunyi Li, Zhenyue Zhang, Guan Gui:
An Adaptive Iteratively Weighted Half Thresholding Algorithm for Image Compressive Sensing Reconstruction. CSPS (2) 2018: 166-174 - [c5]Qiang Fan, Wang Luo, Wenzhen Li, Gaofeng Zhao, Qiwei Peng, Xiaolong Hao, Peng Wang, Zhiguo Li, Qilei Zhong, Min Feng, Lei Yu, Tingliang Yan, Shaowei Liu, Yuan Xia, Bin Han, Qibin Dai, Jie Wang, Guan Gui:
Novel Combination Policy for Diffusion Adaptive Networks. CSPS (2) 2018: 411-419 - [c4]Qiang Fan, Wang Luo, Wenzhen Li, Gaofeng Zhao, Qiwei Peng, Xiaolong Hao, Peng Wang, Zhiguo Li, Qilei Zhong, Min Feng, Lei Yu, Tingliang Yan, Shaowei Liu, Yuan Xia, Bin Han, Qibin Dai, Jie Wang, Guan Gui:
Novel Combination Policy for Diffusion Adaptive Networks. CSPS (1) 2018: 420-427 - 2017
- [c3]Wang Luo, Xiaolong Hao, Changfu Xu, Yang Cui, Yuan Xia, Qiang Fan, Qiwei Peng, Gaofeng Zhao, Min Feng, Pei Zhang, Yanxue Guo, Hongchi Liang:
Coarse-to-fine registration for infrared and visible images of power grid. ICSAI 2017: 1181-1185 - 2011
- [j1]Shuang You, Gaofeng Zhao, HongGuang Ji:
Model for Transversely Isotropic Materials Based on Distinct Lattice Spring Model (DLSM). J. Comput. 6(6): 1139-1144 (2011)
2000 – 2009
- 2006
- [c2]Xueying Zhang, Jing Bai, Gaofeng Zhao:
A Speech Endpoint Detection Method Based on Wavelet Coefficient Variance. IC-AI 2006: 332-336 - [c1]Xueying Zhang, Zhefeng Zhao, Gaofeng Zhao:
A Speech Endpoint Detection Method Based on Wavelet Coefficient Variance and Sub-Band Amplitude Variance. ICICIC (3) 2006: 83-86
Coauthor Index
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